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simpleT5 reviews and mentions
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Transformers: How to compare performance to base model?
Currently I just took ~42000 samples and trained a translation task directly on codeT5 with https://github.com/Shivanandroy/simpleT5. Validation loss and at least the qualitative results are not to bad. Im now going to try to compare it to the base codeT5-model with the *.loss function as suggested above.
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[P] SimpleT5 : Train T5 models in just 3 lines of code
🌟GitHub: https://github.com/Shivanandroy/simpleT5 🌟Medium: https://snrspeaks.medium.com/simplet5-train-t5-models-in-just-3-lines-of-code-by-shivanand-roy-2021-354df5ae46ba 🌟Colab Notebook: https://colab.research.google.com/drive/1JZ8v9L0w0Ai3WbibTeuvYlytn0uHMP6O?usp=sharing
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Shivanandroy/simpleT5 is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of simpleT5 is Python.
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